AIMC Journal:
bioRxiv

Showing 2941 to 2950 of 4993 articles

Whole-genome methylation profiling of menstrual stem cells identifies novel biomarkers for endometriosis

bioRxiv Jan 1, 2025
Endometriosis, despite its high prevalence, is underdiagnosed and poorly managed due to lack of clinically validated biomarkers and pathophysiological insight. Menstrual blood-derived stem cells (MenSCs) have been implicated in disease pathogenesis, ...
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An organotypic in vitro model of human papillomavirus-associated precancerous lesions allowing automated cell quantification for preclinical drug testing

bioRxiv Jan 1, 2025
A durable organotypic epithelial raft culture was established as a model of cervical precancer. Plausible time- and dose-dependent effects of cisplatin, 5-FU, and sinecatechins treatment were observed on keratinocytes and HPV-transformed cells. Treat...
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De novo design of functionally diverse and druggable antimicrobial peptides by diffusion and multimodal deep learning

bioRxiv Jan 1, 2025
The escalating crisis of antibiotic resistance underscores the urgent need for innovative anti-infective agents, such as antimicrobial peptides (AMPs), though their discovery and optimization remain challenging. To address this, we introduce AMP-D3, ...
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Signatures of soft selective sweeps predominate in the yellow fever mosquito Aedes aegypti

bioRxiv Jan 1, 2025
The Aedes aegypti mosquito is a vector for human arboviruses and zoonotic diseases, such as yellow fever, dengue, Zika, and chikungunya, and as such poses a serious threat to public health. Understanding how Ae. aegypti adapts to environmental pressu...
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Neural Timescale of Adolescents Major Depressive Disorder

bioRxiv Jan 1, 2025
Adolescent major depressive disorder (MDD) is characterized by heterogeneous symptomatology and complex neurodevelopmental underpinnings. Here, we investigated whether cortical intrinsic neural timescales (INT)—a measure of temporal stability in neur...
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Learned Geometry, Predicted Binding: Structurally-Based Prediction of Peptide:MHC Binding Using AlphaFold 3 Enables CD4 T Cell Epitope Prediction

bioRxiv Jan 1, 2025
The accurate prediction of T cell epitope peptides within proteins of interest has a wide range of applications, but is complicated by the multiple determinants of antigenicity, the polymorphism of the Major Histocompatibility Complex (MHC) locus, an...
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ConvNeXt-Driven Detection of Alzheimer’s Disease: A Benchmark Study on Expert-Annotated AlzaSet MRI Dataset Across Anatomical Planes

bioRxiv Jan 1, 2025
Alzheimer’s disease (AD) is a leading worldwide cause of cognitive impairment, necessitating accurate, inexpensive diagnostic tools to enable early recognition. In this study, we present a robust deep learning approach for AD classification based on ...
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Kinetic parameter prediction using neural networks identifies limitations to C4 photosynthesis

bioRxiv Jan 1, 2025
Large-scale kinetic models of photosynthesis enable time-resolved predictions of traits related to this key process, and provide the means to identify factors limiting photosynthesis. However, their use is currently limited by the lack of efficient a...
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GAME: Genomic API for Model Evaluation

bioRxiv Jan 1, 2025
The rapid expansion of genomics datasets and the application of machine learning has produced sequence-to-activity genomics models with ever-expanding capabilities. However, benchmarking these models on practical applications has been challenging bec...
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Machine Learning–Guided Differentiation Therapy Targets Cancer Stem Cells in Colorectal Cancers

bioRxiv Jan 1, 2025
Despite advances in artificial intelligence (AI) within cancer research, its application toward realizing differentiation therapy in solid tumors remains limited. Using colorectal cancer (CRC) as a model, we developed a machine learning (ML) framewor...
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